1 / 10

Hadoop trraining in canada

* Resume preparation and Interview assistance will be provided.For any further details please contact India 91-9052666559 Usa : 1-678-693-3475.visit www.hadooponlinetraining.netplease mail us all queries to info@magnifictraining.com

MagnificTrainings
Download Presentation

Hadoop trraining in canada

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Hadoop training in Canada Contact : Magnific training 9052666559 www.hadooponlinetraining.net

  2. Course Objective SummaryDuring this course, you will learn:• Introduction to Big Data and Analytics• Introduction to Hadoop• Hadoop ecosystem - Concepts• Hadoop Map-reduce concepts and features• Developing the map-reduce Applications• Pig concepts• Hive concepts.

  3. Sqoop concepts• Flume Concepts• Oozie workflow concepts• Impala Concepts• Hue Concepts• HBASE Concepts• ZooKeeper Concepts• Real Life Use Cases.

  4. Reporting Tool• Tableau 1. Virtualbox/VM Ware• Basics• Installations• Backups• Snapshots

  5. 2. Linux• Basics• Installations• Commands3. Hadoop• Why Hadoop?• Scaling• Distributed Framework• Hadoop v/s RDBMS• Brief history of hadoop

  6. 4. Setup hadoop• Pseudo mode• Cluster mode• Ipv6• Ssh• Installation of java, hadoop• Configurations of hadoop• Hadoop Processes ( NN, SNN, JT, DN, TT)• Temporary directory• UI• Common errors when running hadoop cluster, solutions

  7. 5. HDFS- Hadoop distributed File System• HDFS Design and Architecture• HDFS Concepts• Interacting HDFS using command line• Interacting HDFS using Java APIs• Dataflow• Blocks• Replica• Data node

  8. 6. Hadoop Processes• Name node• Secondary name node• Job tracker• Task tracker• Data node

  9. 7. Map Reduce• Developing Map Reduce Application• Phases in Map Reduce Framework• Map Reduce Input and Output Formats• Advanced Concepts• Sample Applications• Combiner8. Joining datasets in Mapreduce jobs• Map-side join• Reduce-Side join

  10. 9. Map reduce – customization• Custom Input format class• Hash Partitioner• Custom Partitioner• Sorting techniques• Custom Output format class

More Related